Staff Distributed Systems Engineer
FOMO Labs Inc. operates FOMO, a social-first multichain crypto trading app available on mobile and web. It enables users to trade cryptocurrencies and perpetuals, follow traders, view leaderboards, receive alerts, and participate in social trading features.
Funding history
About FOMO Labs Inc.
FOMO Labs Inc. develops and operates FOMO, an on-chain trading platform for crypto and other digital assets. Its services include multichain and gasless trading, wallet functionality, Apple Pay funding, social feeds, trader profiles, leaderboards, alerts, trading theses, and perpetual futures access through third-party protocols. The platform primarily serves retail and consumer crypto traders, including both new and experienced users.
Skills
About the Role
fomo is seeking a hands-on Staff Distributed Systems Engineer to own critical shared infrastructure such as datastores, caches, messaging systems, and regional application services. The role focuses on building predictable, high-throughput systems and improving observability, resilience, and data locality during failures and traffic surges.
Requirements
- 8 or more years of backend, platform, or infrastructure engineering experience, or equivalent practical experience.
- Experience designing and debugging distributed, high-throughput production systems.
- Strong PostgreSQL experience, including query performance, indexing, connection pooling, replication, transaction contention, and failure modes.
- Strong experience with Redis-compatible systems such as Redis, Valkey, Dragonfly, or KeyDB, including sharding, replication, memory management, hot keys, and failure handling.
- Experience operating services on AWS, ideally using ECS, RDS, and ElastiCache.
- Experience with infrastructure as code, preferably Terraform.
- Proficiency in Go, TypeScript/Node.js, or a comparable systems-oriented language.
- Hands-on experience designing and testing failover and disaster-recovery systems, including backup restoration, replication, regional failover, and RTO/RPO validation.
- Experience with NATS JetStream, Kafka, or another durable messaging system is a plus.
- Familiarity with Datadog APM and AWS Performance Insights is a plus.
- Experience performing live datastore or cache topology migrations is a plus.
- Experience operating systems with bursty or unpredictable traffic is a plus.
- Experience with financial, trading, cryptocurrency, gaming, or other high-throughput systems is a plus.
Responsibilities
- Design and operate high-throughput, multi-region services.
- Improve datastore and cache performance, capacity, replication, and failure handling.
- Implement backpressure, concurrency limits, load shedding, rate limiting, circuit breakers, and bounded retries.
- Reduce cross-region latency and improve data locality.
- Design and test service, datastore, and regional failover procedures.
- Help architect new features to operate at scale from day one.
- Level up the team on how to think about scale.